jishnum

Hi HN - I built this agent to make it easier to get feature distribution metrics into a Prometheus-Grafana observability stack when deploying with Tensorflow Serving.

The pain point this addresses is that TF Serving's default /metrics endpoint only exposes performance metrics (request size, request counts) but not metrics on the features or predictions, which is often interesting and valuable to monitor.

Off-topic, is there any cue in the above comment to indicate 'motivated' should be read as 'has a defined motive' vs 'enthusiastic / hard-working' ?

I'd argue that this is a resume overindexed on getting past recruiting filters looking for specific JavaScript libraries or UNIX commands. Even the recruiters action may not be necessarily bad - startups with a decided tech stack might decide they are not able to provide the time for a new hire to ramp up.

Effectively you penalise not catering the candidate resume to what you are looking for or deem important.

Seems to me like this http://www.almsaeedstudio.com/preview - a free template.